Intel to Build Qualcomm Chips, Aims to Catch Foundry Rivals by 2025

Intel Corp said its factories will start building Qualcomm Inc chips and laid out a roadmap to expand its new foundry business. (AFP)
Intel Corp said its factories will start building Qualcomm Inc chips and laid out a roadmap to expand its new foundry business. (AFP)
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Intel to Build Qualcomm Chips, Aims to Catch Foundry Rivals by 2025

Intel Corp said its factories will start building Qualcomm Inc chips and laid out a roadmap to expand its new foundry business. (AFP)
Intel Corp said its factories will start building Qualcomm Inc chips and laid out a roadmap to expand its new foundry business. (AFP)

Intel Corp said on Monday its factories will start building Qualcomm Inc chips and laid out a roadmap to expand its new foundry business to catch rivals such as Taiwan Semiconductor Manufacturing Co and Samsung Electronics Co Ltd by 2025.

Amazon.com Inc will be another new customer for the foundry chip business, said Intel, which for decades held the lead in technology for manufacturing the smallest, fastest computing chips.

But Intel has lost that lead to TSMC and Samsung, whose manufacturing services have helped Intel's rivals Advanced Micro Devices Inc and Nvidia Corp produce chips that outperform Intel's. AMD and Nvidia design chips which then are made by the rival chip manufacturers, called foundries.

Intel said on Monday it expects to regain its lead by 2025 and described five sets of chipmaking technologies it will roll out over the next four years.

The most advanced use Intel's first new design in a decade for transistors, the tiny switches that translate to digital ones and zeros. Starting as early as 2025, it will also tap a new generation of machines from the Netherlands' ASML that use what is called extreme ultraviolet lithography, which projects chip designs onto silicon somewhat like printing an old-fashioned photograph.

"We're laying out a whole lot of details to The Street to hold us accountable," Intel Chief Executive Pat Gelsinger told Reuters in an interview, referring to investors.

Intel also said it will change its naming scheme for chipmaking technology, using names like "Intel 7" that align with how TSMC and Samsung market competing technologies.

In the chip world where smaller is better, Intel previously used names that alluded to the size of features in "nanometers". But over time the names used by chipmakers became arbitrary marking terms, said Dan Hutcheson, chief executive of VLSIresearch, an independent semiconductor forecasting firm. This, he said, gave the mistaken impression that Intel was less competitive.

Intel's first major customers will be Qualcomm and Amazon. Qualcomm, which dominates chips for mobile phones, will use what Intel is calling its 20A chipmaking process, which will use new transistor technology to help reduce how much power the chip consumes.

Amazon, which is increasingly making its own data center chips for its Amazon Web Services, is not yet using Intel's chipmaking technology but will use Intel's packaging technology, the process of assembling chips and "chiplets" or "tiles", often stacking them up in so-called 3D formation. Intel excels in this packaging technology, analysts say.

"There have been many, many hours of deep and technical engagement with these first two customers, and many others," Gelsinger said.

Intel did not give details how much revenue or manufacturing volume the customer wins would bring, though Gelsinger said during an event announcing the news that the Qualcomm deal involved a "major mobile platform" and engaging in a "deep a strategic manner." Qualcomm has a long track record of using multiple foundry partners, sometimes even for the same chip.

The biggest question facing Intel is whether it can make good on its technology promises after years of delays under previous Chief Executive Brian Krzanich. In recent weeks, Intel announced the delay of a new data center chip called Sapphire Rapids.

But David Kanter, an analyst with Real World Technologies, said Intel is being more cautious than in the past. The years of delays resulted in part from the "hubris" of tackling multiple technical problems in a single generation of technology.

This time, Intel is laying out five generations of technology in four years, tackling smaller sets of problems, and also saying that it might not introduce the new EUV technology with its forthcoming "Intel 18A" process if it is not ready.

"Intel is absolutely going to catch up, and be ahead in some dimensions, with TSMC over the next few years," Kanter, the analyst, said. "Intel really does have people who spend all their time looking at how to deploy new materials and technology to juice their performance."



Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)
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Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)

US tech giant Amazon said it has blocked over 1,800 North Koreans from joining the company, as Pyongyang sends large numbers of IT workers overseas to earn and launder funds.

In a post on LinkedIn, Amazon's Chief Security Officer Stephen Schmidt said last week that North Korean workers had been "attempting to secure remote IT jobs with companies worldwide, particularly in the US".

He said the firm had seen nearly a one-third rise in applications by North Koreans in the past year, reported AFP.

The North Koreans typically use "laptop farms" -- a computer in the United States operated remotely from outside the country, he said.

He warned the problem wasn't specific to Amazon and "is likely happening at scale across the industry".

Tell-tale signs of North Korean workers, Schmidt said, included wrongly formatted phone numbers and dodgy academic credentials.

In July, a woman in Arizona was sentenced to more than eight years in prison for running a laptop farm helping North Korean IT workers secure remote jobs at more than 300 US companies.

The scheme generated more than $17 million in revenue for her and North Korea, officials said.

Last year, Seoul's intelligence agency warned that North Korean operatives had used LinkedIn to pose as recruiters and approach South Koreans working at defense firms to obtain information on their technologies.

"North Korea is actively training cyber personnel and infiltrating key locations worldwide," Hong Min, an analyst at the Korea Institute for National Unification, told AFP.

"Given Amazon's business nature, the motive seems largely economic, with a high likelihood that the operation was planned to steal financial assets," he added.

North Korea's cyber-warfare program dates back to at least the mid-1990s.

It has since grown into a 6,000-strong cyber unit known as Bureau 121, which operates from several countries, according to a 2020 US military report.

In November, Washington announced sanctions on eight individuals accused of being "state-sponsored hackers", whose illicit operations were conducted "to fund the regime's nuclear weapons program" by stealing and laundering money.

The US Department of the Treasury has accused North Korea-affiliated cybercriminals of stealing over $3 billion over the past three years, primarily in cryptocurrency.


KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.